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What is Tenzir?

Tenzir serves as a dedicated data pipeline engine designed specifically for security teams, simplifying the collection, transformation, enrichment, and routing of security data throughout its lifecycle. Users can effortlessly gather data from various sources, convert unstructured information into organized structures, and modify it as needed. Tenzir optimizes data volume and minimizes costs, while also ensuring compliance with established schemas such as OCSF, ASIM, and ECS. Moreover, it incorporates features like data anonymization to maintain compliance and enriches data by adding context related to threats, assets, and vulnerabilities. With its real-time detection capabilities, Tenzir efficiently stores data in a Parquet format within object storage systems, allowing users to quickly search for and access critical data as well as revive inactive data for operational use. The design prioritizes flexibility, facilitating deployment as code and smooth integration into existing workflows, with the goal of reducing SIEM costs while granting extensive control over data management. This innovative approach not only boosts the efficiency of security operations but also streamlines workflows for teams navigating the complexities of security data, ultimately contributing to a more secure digital environment. Furthermore, Tenzir's adaptability helps organizations stay ahead of emerging threats in an ever-evolving landscape.

What is Datazoom?

Data plays a crucial role in enhancing the effectiveness, profitability, and user experience of streaming video services. Datazoom empowers video publishers to optimize their distributed systems by centralizing, standardizing, and integrating data in real-time, thereby creating a robust data pipeline that enhances observability and adaptability while streamlining solutions. As a video data platform, Datazoom continuously collects data from various endpoints, including CDNs and video players, through a network of collectors. Once this data is collected, it is normalized using consistent data definitions, ensuring uniformity across the board. Subsequently, the refined data is transmitted through connectors to various analytics platforms like Google BigQuery, Google Analytics, and Splunk, allowing for seamless integration. Visualization tools such as Looker or Superset can then be utilized to interpret and analyze this data effectively. By leveraging Datazoom, you unlock the potential for a more efficient and impactful data pipeline, enabling you to access the necessary data swiftly and address any urgent issues without delay. In a fast-paced digital landscape, timely access to accurate data can make all the difference in maintaining a competitive edge.

Media

Media

Integrations Supported

Amazon S3
Google Cloud Storage
Snowflake
Splunk Cloud Platform
Amazon Security Lake
Fluent Bit
Fortinet
Google Security Operations (SecOps)
Graylog
Microsoft Defender for Cloud
Slack
Suricata
Zeek
ZeroMQ
Zscaler

Integrations Supported

Amazon S3
Google Cloud Storage
Snowflake
Splunk Cloud Platform
Amplitude
Datadog
Google Cloud BigQuery
Looker
New Relic

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Android
iPhone
iPad

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Tenzir

Date Founded

2017

Company Location

Germany

Company Website

tenzir.com

Company Facts

Organization Name

Datazoom

Date Founded

2017

Company Location

United States

Company Website

www.datazoom.io

Categories and Features

Cloud Security

Not specified

Data Anonymization

Not specified

Data Pipeline

Not specified

Data Security

Not specified

Log Management

Not specified

Observability

Not specified

Telemetry

Not specified

Categories and Features

Data Pipeline

Not specified

Video

Not specified

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